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机构地区:[1]Yerkes Imaging Center and Division of Neuropharmacology and Neurologic Diseases,Yerkes National Primate Research Center, Emory University [2]Biomedical Imaging Technique Center, The Wallace H. Coulter Department of Biomedical Engineering,Emory University and Georgia Institute of Technology
出 处:《波谱学杂志》2014年第1期32-39,共8页Chinese Journal of Magnetic Resonance
基 金:the National Center for Research Resources(P51RR000165)of NIH;the Office of ResearchInfrastructure Programs(OD P51OD011132)
摘 要:活体多片磁共振谱成像(MRSI)产生大量的波谱数据,因此需要使用自动的谱数据分析方法来获得不同组织代谢产物的定量分布图.然而,活体波谱通常产生严重的谱和基线变形,使得基于曲线拟合的谱定量数据分析方法失效.该文应用多尺度分析(Multiscale)方法自动确定兴趣代谢物在频率空间的谱峰特征(位置和线宽),然后通过叠代运算对该代谢物对应的谱峰进行独立的自动相位矫正和线型拟合.大脑波谱成像的实验结果表明,该方法可以方便、有效的获得代谢产物在大脑的分布,特别适宜于多片磁共振谱成像的代谢产物定量分析.Automated metabolite quantification with curve fitting is essential for analyzing large amount of in vivo magnetic resonance spectroscopic imaging (MRSI) data. However, such analysis is often hindered by distorted peak lineshapes and baselines normally seen in in vivo MRSI experiments. In the present study, a multiscale approach was utilized for peak-specific automated phase correction in multi-slice MRSI data of human brain. The results suggest that this novel approach can improve the robustness and efficiency of metabolite quantification and facilitate automated analysis of multi-slice in vivo MRSI data of human brain.
关 键 词:活体多片磁共振谱成像(MRSI) 多尺度分析方法 线型拟合 自动相位矫正
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